Notably, Management Occupations jobs accounted for a 10% share of the global consumer industry’s future of work-related total new job postings in Q2 2024, down 5% over the prior quarter.
Management Occupations drive future of work-related hiring activity
Management Occupations, with a share of 10%, emerged as the top future of work-related job roles within the consumer industry in Q2 2024, with new job postings drop by 5% quarter-on-quarter. Transportation and Material Moving Occupations came in second with a share of 9% in Q2 2024, with new job postings rising by 16% over the previous quarter.
The other prominent future of work roles include Installation, Maintenance, and Repair Occupations with an 8% share in Q2 2024, Computer and Mathematical Occupations with a 8% share of new job postings.
Top five companies in consumer industry accounted for 19% of hiring activity
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q2 2024 were Emerson Radio, Nestle, PepsiCo, Core-Mark Holding, and British American Tobacco. Together they accounted for a combined share of 19% of all future of work-related new jobs in the consumer industry.
Emerson Radio posted 720 future of work-related new jobs in Q2 2024, Nestle 565 jobs, PepsiCo 501 jobs, Core-Mark Holding 334 jobs, and British American Tobacco 323 jobs, according to GlobalData’s Job Analytics.
Hiring activity was driven by the US with a 57.73% share of total new job postings, Q2 2024
The largest share of future of work-related new job postings in the consumer industry in Q2 2024 was in the US with 57.73% followed by India (6.12%) and the UK (3.45%). The share represented by the US was ten percentage points higher than the 47.51% share it accounted for in Q1 2024.
For further understanding of GlobalData’s Consumer: Hiring Trends & Signals Q2 2024, buy the report here.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Jobs Analytics uses machine learning to uncover key insights from tracking daily job postings for thousands of companies globally. Proprietary analysis is used to group jobs into key thematic areas and granular sectors across the world’s largest industries. classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
